Senior Site Reliability Engineer – Data Platform
Requirements at a glance
Senior Site Reliability Engineer – Data Platform at Revvity is a role based in Shanghai. It does not mention visa sponsorship. Key skills include TypeScript, Python, Kotlin, and Scala. Applications are submitted through Workday.
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Workday
Skills in this posting
- TypeScript
- Python
- Kotlin
- Scala
- Node.js
- AWS
- Terraform
- Git
- Electronic health records
Extracted automatically from the job description. Confirm details in the full posting below.
Job Title
Senior Site Reliability Engineer – Data Platform
Location(s)
ShanghaiAbout Us
Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.
Find your future at Revvity
Responsibilities
- Work closely with Development, Support and DevOps teams to efficiently resolve any issues affecting Customers of our Signals Cloud and OnPrem software products
- Own CI/CD and repository governance: workflow hardening, branch protection, required status checks, secure release automation
- Own system reliability and the end-to-end monitoring ecosystem for a large-scale data platform
Design, build, and operate an automated alert-triage system that deduplicates, routes, and auto-classifies operational alerts, backed by a searchable knowledge base of known failure modes
Manage monitoring infrastructure as code (Terraform), keeping alert behavior consistent across dev/qa/prod environments
- Produce design documents, runbooks, and incident/lessons-learned knowledge; mentor teams on on-call best practices
Work Areas
- Become a subject matter expert for our Signals Data Factory features and capabilities, both SaaS and On Prem
- Craft tooling and application code that’s well-documented, testable and reusable, using various backend technologies (Python, Node, Kotlin, Scala)
- Work with AWS services and cloud technologies, Jenkins and git workflows
- Migrate hand-configured monitor rules into declarative, version-controlled definitions with a soak-and-cutover rollout process
- Remediate CI flakiness, upgrade runner tooling, and enforce engineering guardrails across many repositories
- Handle production incidents via a ticketed workflow, from triage through root-cause fix and prevention
- Continuously tune alerting and monitoring quality: suppress noise, consolidate duplicate rules, and validate parity before routing changes
Required Skills
- SRE practices: on-call, incident triage, runbooks, canary/soak-style safe rollouts, blameless postmortems
- GitHub Actions or equivalent CI/CD systems, plus repository and release governance
Experience leveraging AI-assisted development and code-review tooling to boost delivery quality
- Data-platform familiarity: large-scale pipelines, table/store design under concurrent access
- Strong AWS experience: SQS, EMR/Spark, RDS, IAM least privilege, Secrets Manager/SSM, Lambda, DynamoDB
- Terraform / infrastructure-as-code at scale, including module design and multi-environment promotion
- Deep monitoring/observability tooling experience (e.g., Sumo Logic, Instana, Datadog, or similar) and alert-design expertise
- Programming across multiple languages a plus: Python, TypeScript/Node.js, Scala or Spark, plus shell scripting